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In most industries, supplychains have become increasingly complex. This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. As a result, many organizations are moving toward supplychain orchestration as a structured method for improving coordination.
In the rapidly evolving world of global supplychains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Here’s how each layer translates to the supplychain context: 1. These seven layers are: 1.
The adoption of AI in supplychainautomation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
Schneider Electric has been working to simplify its supplychain over the last few years. This French public multinational was selected as having the best global supplychain by a leading analyst firm. Schneider Electric’s supplychain operation is of great interest to other practitioners.
Supplychain, with its complex planning questions, is typically an area where optimization technology is required. SupplyChain Network Design. Sales and operations planning (S&OP). Warehouse optimization. Read about 5 use cases. Sales and Operations Execution (S&OE). Inventory optimization.
The industrial sectorparticularly supplychain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Typically, these systems consist of standard-task agents (e.g.,
Supplychain disruptions have become a persistent operational risk. Traditional supplychainplanning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supplychain management.
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
When one thinks of supplychainsoftware vendors, the name InterSystems may not spring to mind. A supplychain data fabric can help companies augment their supplychain processes. They aim to achieve the same success in supplychain management that they have achieved in the healthcare sector.
Imagine a world where supplychains run with complete transparency, efficiency, and automationwhere every transaction, shipment, and payment are executed seamlessly without intermediaries slowing things down. For decades, supplychain management has encountered bureaucratic bottlenecks, inefficiencies, and trust issues.
It has led supplychain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supplychain solutions is eager to explain the ongoing investments they are making in artificial intelligence. ML can also be used to generate labor standards for warehouse workers.
The logistics and supplychain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Businesses face heightened uncertainty in managing costs and securing stable energy supplies.
Five years ago, we all thought the COVID-19 pandemic resulted in the most disrupted supplychain landscape we would ever see. Since then, supplychain disruptions and volatility have only increased. That may sound impossible, but new technology places this capability within the reach of every organization.
Why Transformation Is a Boardroom Priority Supplychain management is now a core strategic concern for business leaders. Companies that fail to modernize face supply shortages, revenue loss, and regulatory risks. A data-driven, technology-enabled approach is required to build resilience and efficiency.
However, as carbon taxes and emissions reporting requirements continue increasing, supplychain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Sustainability is high on the list of favorite corporate buzzwords.
My head is wobbling with announcements, late-night Friday press releases, company name changes, and executive turnover in the supplychainplanning market. Logility, a conservative company supplychainplanningtechnology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal.
Hosted at the Gaylord in Nashville the week harnessed the theme of machine speed and precision across connectedsupply chain processes. Supplychain modernization must occur in todays digital-centric world. The past approach of limited, incremental improvements is not sufficient for today’s supplychain needs.
Alerts and notifications from email, social channels, home devices, shopping apps and other platforms compete for our attention, creating an overwhelming stream of information. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supplychain networks. Who needs to act, and when?
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
As artificial intelligence (AI) becomes more integrated into supplychains, companies are focusing on how it can support human workers. Most effective AI implementations today are designed to improve decision-making, reduce routine tasks, and increase operational efficiency through human-in-the-loop systems and decision support tools.
In the past, tracking a shipping container across continents or monitoring the temperature of a pharmaceutical package in a rural warehouse came with trade-offs: cost, power drain, or unreliable coverage. Two cellular technologies LTE-M and NB-IoT are now reshaping long-distance asset tracking. This is changing.
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. In the supplychain arena, the need to make course corrections is exploding. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Business cycles are compressing.
They used the phrase planning at the edge of chaos. This involves the use of new technologies on their platform. Data fabrics, knowledge graphs, a digital thread, and digital twin technologies are critical. Data fabrics, knowledge graphs, a digital thread, and digital twin technologies are critical. I love that.
His keynote address highlighted the company’s recent accomplishments, such as the introduction of a new inventory planning solution, substantial investments in research and development, and advancements in artificial intelligence. The company has also focused on AI integration, with AI agents now available on their platform.
CONA Services Provides a Common Platform for SupplyChain Collaboration CONA Services LLC is an IT services company owned and governed by the 11 largest Coca-Cola bottlers in North America. CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technologyplatforms.
Manhattan joins a select group of supplychainsoftware suppliers generating over $1 billion in annual revenue. Manhattan Associates is a leader in two markets, warehouse management systems and omnichannel systems. The WMS solution optimizes productivity and throughput in distribution centers and warehouses.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supplychain operations. These advancements enable real-time tracking and monitoring, enhance automatedsystems, and support a larger number of connected devices.
The cavernous halls of McCormick Place in Chicago played host to ProMat 2025, a sprawling testament to the relentless innovation shaping the future of manufacturing and supplychain.
In todays fast-moving supplychain world, success hinges not just on speed or scale, but on intelligence. As e-commerce booms, product lifecycles shorten, and labor markets tighten, traditional warehouse management approaches struggle to keep up. What are intelligent warehousesystems? These arent just buzzwords.
During my current supplychainplanning market research, I have received briefings from several SCP companies. Many say that they are using generative AI, a type of AI that can create new content and ideas, as part of their journey toward autonomous planning. We are a platform. We feel we are ahead of our times.
As technologies like artificial intelligence (AI) gain traction, the focus has remained on practical applications that yield incremental improvements rather than wholesale infrastructure change. AI is playing an increasingly pragmatic role in optimizing supplychain operations.
As automation continues to evolve in logistics, two technologies are becoming central to modern delivery methods: autonomous drones and autonomous vehicles. However, each technology serves different purposes within logistics, and the question remains: Which will ultimately shape the industry’s operational structure?
Duncan Angove, CEO Blue Yonder Blue Yonder , is one of the largest providers of supplychainsoftware. In the fourth quarter, we delivered the second largest software bookings in the history of the company. That was driven, in part, by pivoting from selling point solutions to a set of applications on a common platform.
This strategic partnership aims to improve demand planning efficiency, optimize inventory performance, and elevate service levels. The company’s dynamic approach and commitment to innovation have fueled its expansion to five strategically located warehouses, enabling comprehensive coverage of Central and Southern Italy.
Procurement and supplychain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. Misaligned priorities, siloed systems, and unclear ownership can directly impact key performance indicators like cost savings percentage and procurement cycle time.
The global supplychain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Developing Analytical Skills Data analysis is at the heart of effective supplychain management.
As supplychain leaders face heightened demand uncertainty and extreme supplychain disruption, the answer is not going to come from Silcon Valley. Big Tech innovation did very little to improve supplychains, but the implications of these layoffs loom large adding another layer to the current disruption.
ARC Advisory Group began conducting formalized research on the global warehouseautomation market in 2014. We define the market as those warehouseautomation providers responsible for delivery of the system to the end-user (to eliminate double-counting). Looking back, I estimated the market in 2013 at $6.4
Robotic Process Automation (RPA) refers to process automation that combines process steps with decision models or business rules with little to no human oversight. APQC conducts research on supplychain and logistics to help organizations assess the performance of their own processes and functions compared to their peers.
The manufacturing and distribution industries are on the brink of a transformative era, characterized by unprecedented technological innovation, sustainability imperatives, and global economic shifts. These advanced systems provide unprecedented scalability, enabling companies to navigate market fluctuations with agility and responsiveness.
At this years keynote, Manhattan Associates outlined its current strategic direction, underscoring platform unification, AI integration, and leadership transition. His comments reflected a long-term orientation: technology and strategy are expected to evolve in parallel with shifts in the global supplychain environment.
The 25% tariffs on Canadian and Mexican imports and 20% tariffs on Chinese goods are expected to increase production costs, disrupt logistics networks, and force companies to rethink supplychains. This includes: Increasing domestic supplychain investments, reducing dependence on cross-border components.
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